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Jeeves
Jeeves
51 – 200 कर्मचारी
H1B वीज़ा प्रायोजकपरामर्शलॉजिस्टिक्सविपणन
Jeeves एक वित्तीय प्लेटफ़ॉर्म है जो कंपनियों को अंतरराष्ट्रीय खर्च और भुगतान एक ही जगह पर प्रबंधित करने में सहायता करता है। इसकी सेवाओं में कॉर्पोरेट कार्ड जारी करना, खर्च प्रबंधन, सीमा-पार धन हस्तांतरण, विदेशी मुद्रा और सीधे लेखांकन एकीकरण शामिल हैं। यह 25 से अधिक देशों और कई मुद्राओं में कामकाज को समर्थन देता है। इन सभी सुविधाओं को एक साथ लाकर, Jeeves व्यवसायों को अलग-अलग वित्तीय साधनों पर निर्भरता कम करने और रोज़मर्रा के वित्तीय संचालन को बेहतर बनाने में मदद करता है। कंपनी बैंक नहीं है; अपनी सेवाएँ देने के लिए यह लाइसेंस प्राप्त बैंकों और अन्य वित्तीय संस्थानों के साथ काम करती है।
LinkedIn
कंपनी की नौकरियाँ

Senior AI Engineer, LLM Workflows — Jeeves (Remote, Argentina)

Lead production LLM workflows for Jeeves’ stablecoin-powered banking platform. Build dependable AI systems for finance automation, monitoring, and regulated financial decisions.

ARअर्जेंटीनारिमोटपूर्णकालिकवरिष्ठलीडआवश्यक भाषा: अंग्रेज़ीAI इंजीनियरमशीन लर्निंग इंजीनियर
AWSAzureGoogle Cloud PlatformPostgresPythonक्लाउड

विवरण

  • Lead finance workflows from initial problem definition through launch and continuous improvement.
  • Develop agentic and LLM systems that combine extraction, retrieval, reasoning, and tool use, with human review where needed.
  • Document system designs, assess build-versus-buy and model options, and define workflow success measures.
  • Work with customers and internal finance teams to understand workflow needs and agree on completion criteria.
  • Create production-ready LLM pipelines with well-designed prompts and context, structured outputs, validation, fallback behavior, and confidence scoring.
  • Build retrieval-augmented generation components, including chunking, embeddings, vector search, and reranking.
  • Connect AI services to backend systems through clear API contracts, retry handling, graceful degradation, and customer-level data isolation.
  • Control model costs and response times.
  • Create evaluation datasets and automated checks to detect regressions.
  • Add logging, tracing, dashboards, and alerts to AI components.
  • Keep audit records of AI decisions in regulated financial products.
  • Develop shared AI engineering patterns, tools, and practices.
  • Help the broader team use coding agents and AI tools effectively.
  • Review colleagues’ AI system designs and share lessons learned.

आवश्यकताएँ

  • Bring at least seven years of professional software engineering experience, including two or more years building and operating production LLM or AI systems.
  • Have owned a substantial system or workflow from scoping and design through launch and iteration, working with limited direction.
  • Have hands-on experience delivering LLM applications with APIs such as Anthropic, OpenAI, or similar, including structured outputs, error handling, and evaluation.
  • Have designed agentic or multi-step AI workflows involving tool use, orchestration, or human review, or built RAG systems with vector databases such as pgvector, Pinecone, or Weaviate.
  • Be highly proficient in Python and have strong backend fundamentals, including REST APIs, PostgreSQL or a comparable relational database, asynchronous patterns, and experience with AWS, GCP, or Azure.
  • Use AI coding agents such as Claude Code, Cursor, or Codex regularly, and be able to explain their strengths and limitations.
  • Have experience monitoring AI systems with logs, traces, dashboards, and quality metrics.
  • Be professionally fluent in spoken and written English.
  • Preferred: Experience in fintech, financial services, or another regulated sector.
  • Preferred: Experience automating finance or back-office processes.
  • Preferred: Technical leadership of a project or a small engineering group.
  • Preferred: Startup or scale-up experience building systems from the ground up.
  • Preferred: Fluency in Spanish or Portuguese.
  • Preferred: Contributions to open source, technical writing, or talks on applied AI.

लाभ

  • Full-time employment.
  • Remote work based in Argentina.

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